Jan 17, 2020
Time Series Analysis of Physiological Data for Emotion Recognition using Deep Learning A good emotion recognition is of great importance for companion systems in order to be able to respond to the user in the best possible way. In this master thesis the test setup and...
Jan 17, 2020
Deep Learning based Buy Predictions with Sequence Models Identifying whether a clicked item in an e-commerce session will end in a purchase is a current research inquiry. This task was also set at the RecSys Challenge in 2015. The competition was won with a two-stage...
Jan 17, 2020
Towards German Abstractive Text Summarization using Deep Learning Text summarization is an established sequence learning problem divided into extractive and abstractive models. While extractive models learn to only rank words and sentences, abstractive models learn to...
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